Keywords: Stroke, Arterial spin labelling
Motivation: Hemorrhagic transformation (HT) is the most severe complication of acute ischemic stroke.
Goal(s): The present study was to construct and internally validate a nomogram model based on pre-treatment arterial spin labeling (ASL) MRI to predict HT in AIS patients
Approach: This retrospective study enrolled 117 AIS patients with anterior circulation large vessel occlusion. Multivariate logistic regression analysis identified that baseline NIHSS, ADC value and pre-treatment ASL hyperperfusion were independent factors affecting HT. Those independent predictors were then incorporated to develop a predictive nomogram model.
Results: The nomogram model, could reliably calculated the probability of HT in AIS patients with mechanical endovascular therapy.
Impact: The prediction model has significant clinical implications, which could guide clinical screening of high-risk patients and develop more targeted prevention strategies.
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